A5067208848- Epilepsy research and treatment
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Complex Network Analysis Techniques
- Neuroscience and Neuropharmacology Research
- Complex Systems and Time Series Analysis
- Gene Regulatory Network Analysis
- Neural Networks and Applications
- Opinion Dynamics and Social Influence
- Evolution and Genetic Dynamics
- COVID-19 epidemiological studies
- Evolutionary Game Theory and Cooperation
- Circadian rhythm and melatonin
- Fractal and DNA sequence analysis
- Nonlinear Dynamics and Pattern Formation
Universitat Pompeu Fabra
2017-2024
University Hospital of Bern
2019-2022
University of Bern
2019-2022
Higher Education Centre Novo Mesto
2019
University of Ljubljana
2019
Institute for Bioengineering of Catalonia
2017
<h3>Importance</h3> Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, prevalence and patterns seizure cycles are unknown. <h3>Objective</h3> To establish prevalence, strength, temporal over timescales hours years. <h3>Design, Setting, Participants</h3> This retrospective cohort study analyzed data from continuous intracranial electroencephalography (cEEG) diaries collected between January 19, 2004, May 18, 2018, with durations up 10 A total 222...
Paroxysms are sudden, unpredictable, short-lived events that abound in physiological processes and pathological disorders, from cellular functions (e.g., hormone secretion neuronal firing) to life-threatening attacks cardiac arrhythmia, epileptic seizures, diabetic ketoacidosis). With the increasing use of personal chronic monitoring electrocardiography, electroencephalography, glucose monitors), discovery cycles health disease, emerging possibility forecasting paroxysms, need for suitable...
A lot of mileage has been made recently on the long and winding road toward seizure forecasting. Here we briefly review some selected milestones passed along way, which were discussed at International Conference for Technology Analysis Seizures-ICTALS 2022-convened University Bern, Switzerland. Major impetus was gained from wearable implantable devices that record not only electroencephalography, but also data motor behavior, acoustic signals, various signals autonomic nervous system. This...
Epilepsy is characterized by spontaneous seizures that recur at unexpected times. Nonetheless, using years-long electroencephalographic (EEG) recordings, we previously found patient-reported consistently occur when interictal epileptiform activity (IEA) cyclically builds up over days. This multidien (multiday) interictal-ictal relationship, which shared across patients, may bear phasic information for forecasting seizures, even if individual patterns of seizure timing are unknown. To test...
Empirical data on real complex systems are becoming increasingly available. Parallel to this is the need for new methods of reconstructing (inferring) structure networks from time-resolved observations their node-dynamics. The based physical insights often rely strong assumptions about properties and dynamics scrutinized network. Here, we use machine learning design a method network reconstruction that essentially makes no such assumptions. Specifically, interpret available trajectories...
Inferring the topology of a network using knowledge signals each interacting units is key to understanding real-world systems. One way address this problem data-driven methods like cross-correlation or mutual information. However, these measures lack ability distinguish direction coupling. Here, we use rank-based nonlinear interdependence measure originally developed for pairs signals. This not only allows one strength but also Our results system coupled Lorenz dynamics show that are able...
Abstract For persons with epilepsy, much suffering stems from the apparent unpredictability of seizures. Historically, efforts to predict seizures have sought detect changes in brain activity seconds minutes preceding (pre-ictal period), a timeframe that limits preventative interventions. Recently, converging evidence studies using chronic intracranial electroencephalography revealed epilepsy has robust cyclical structure over hours (circadian) and days (multidien). These cycles organize...
The degree to which unimodal circular data are concentrated around the mean direction can be quantified using resultant length, a measure known under many alternative names, such as phase locking value or Kuramoto order parameter. For maximal concentration, achieved when all of take same value, length attains its upper bound one. However, for random sample drawn from uniform distribution, expected achieves lower zero only size tends infinity. Moreover, depends on size, bias is induced...
Topologies of real-world complex networks are rarely accessible, but can often be reconstructed from experimentally obtained time series via suitable network reconstruction methods.Extending our earlier work on methods based statistics derivative-variable correlations, we here present a new method built integrating an evolutionary optimization algorithm into the correlation method.Results modification in general outperform original results, demonstrating suitability logic problems.We show...
Multi-strain competition on networks is observed in many contexts, including infectious disease ecology, information dissemination or behavioral adaptation to epidemics. Despite a substantial body of research has been developed considering static, time-aggregated networks, it remains challenge understand the transmission concurrent strains when links network are created and destroyed over time. Here we analyze how dynamics shapes outcome between an initially endemic strain emerging one, both...